6. Assumption MLR.5 (Homoskedasticity) Suppose you are interested in using the following multiple regression model to study the relationship between y and z1, Z2, I3, ..., Zį: y = Bo + Bizı + Bzz + B3Zs+..+z4 +u Though impossible to observe in reality, suppose you are able to gather a scatter plot of the variance of the error term, Var (u|22, z3, ...Zt), against the first explanatory variable z1, holding all other explanatory variables constant. This scatter plot is shown on the following graph: Note: Var (u | 71, 73, -.., zt) is denoted as Var (u]2) on the vertical axis of the graph. x1 True or False: Given the scatter plot, there is evidence to suggest the model suffers from heteroskedasticity. True O False (zn)mA

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.